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About Silk Silk is redefining how enterprises adopt and scale in the cloud by providing a high-performance virtual SAN for cloud environments. Our platform helps organizations run mission-critical applications with maximum performance and efficiency in the cloud. Headquartered in Needham, MA and backed by Sequoia Capital, Silk continues to experience rapid growth as enterprises modernize their infrastructure. Learn more at silk.us About the Role We’re seeking a Technical Account Manager (TAM) to serve as a trusted technical advisor for a portfolio of strategic Silk customers. You’ll ensure customers realize the full value of the Silk Platform - from onboarding through ongoing optimization - by bridging technical expertise with a deep understanding of their business goals. You’ll work within the Customer Success team and across the broader Go-To-Market organization to deliver world-class customer experience and long-term adoption. This role is ideal for someone passionate about cloud performance, enterprise technology, and building strong technical relationships with customers. What You’ll Do Customer Engagement & Technical Partnership
* Serve as the primary technical expert and trusted advisor for assigned customers.
* Partner with the Onboarding Manager to ensure smooth onboarding and seamless adoption of Silk solutions.
* Host regular customer meetings to provide technical guidance, performance insights, and strategic recommendations Lead customer training and enablement sessions to deepen understanding and drive broader platform adoption.
* Collaborate with Customer Success Managers to support QBRs, renewals, expansions, and overall account health Technical Excellence & Optimization
* Proactively engage with customers to review upgrade schedules, configuration best practices, and usage trends - identifying opportunities to optimize performance, efficiency, and overall platform utilization.
* Translate complex technical concepts into clear, actionable business insights for diverse audiences.
* Maintain and document customer architectures, configurations, and technical recommendations.
* Ensure customers stay current with product updates and continually realize value from the Silk platform. About You You thrive in fast-moving, customer-centric environments and enjoy combining technical expertise with relationship management. You’re curious, self-directed, resourceful, and motivated to make an impact. Preferred qualifications:
* 5–7 years of experience as a Technical Account Manager, Solution Architect, Sales Engineer, or in enterprise technical support or related roles.
* Strong understanding of cloud infrastructure (Azure, GCP, AWS) and enterprise workloads (e.g., Oracle, SQL Server).
* Excellent communication and presentation skills with both technical and business audiences.
* Proven ability to manage complex technical projects and collaborate across functions.
* Highly organized, self-directed, and excited to shape how Silk supports its strategic accounts. Nice to have:
* Experience with Customer Success platforms (e.g., Gainsight, Totango, Planhat) is a plus.
* Experience with automations or workflow optimization is a plus. Silk recognizes that talent and potential come in all forms and that years of experience does not guarantee on-the-job success or leadership potential. Our hiring process involves recognizing a person’s achievements, skills & knowledge, and passion; not just check-marks next to a job description. If you have an interest in any of our roles, please do not hesitate to apply - we would be happy to speak with you.

About Silk:
Silk makes it possible for organizations to cloud their way. Helping organizations win in the cloud is what we do. Our culture is who we are. We are empowered. We are positive thinkers. We think boldly and always speak our minds. We go big, or we go back to the

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.

Who We Are Incredibuild is the leading platform empowering developers and enterprises to radically accelerate their development cycles. We help world-leading brands like Microsoft, Citi Bank, GM, Amazon, and Adobe shorten build times, allowing for more iterations, faster product releases, and significant resource savings. Our technology streamlines and accelerates everything from compilation to release automation, dramatically expediting time to market for our clients.
Your mission is to lead the core engine that powers Incredibuild’s acceleration across Linux and Windows. As Product Manager for Core Acceleration, you will own the foundational component that enables our product ecosystem. This is a highly technical, high-impact role for a PM who thrives on solving complex engineering challenges.
What you'll do Own the roadmap: You will own the strategic roadmap for the core product. Manage stakeholders: Act as the primary product partner for our Cloud PMs. You will intake their requests, understand their needs, and prioritize them against your own roadmap initiatives. Define technical requirements: Work hand-in-hand with engineering to translate complex needs into detailed technical requirements, user stories, and acceptance criteria. Prioritize ruthlessly: You will be the single point of contact for your R&D teams, making the hard trade-off decisions between new features, performance improvements, and technical debt. Measure performance: Define and own the KPIs. You will live in the benchmarks and drive continuous improvement. Serve the enterprise: Meet customers and prioritize, together with the rest of the product team, the unique needs of our customers.

As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
You will have a chance to grow and develop professionally by owning data-driven projects from the research phase through to production, collaborating with highly experienced researchers.
Responsibilities
Develop classical machine learning and deep learning models that will impact company goals directly.
Work with partner teams to design and implement solutions in recommender systems, classification and prediction for given objectives.
Find solutions to complex problems in social network recommendations, understand the data generation process and the challenges involved with working with big data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.